Warmup period

1. If you are not using any indicators that require historical data, you do not need to set a warm-up period. The warm-up period is used to pre-load a specified period of data before the start date of the algorithm to allow indicators to be properly initialized. If you're not using such indicators, you can skip this step.

2. The start and end dates should be the period over which you want to backtest your strategy. In your case, you should set the start date to 11/6/23 and the end date to 11/27/23. Here is how you can do it in Python:

self.SetStartDate(2023, 11, 6)  # Set Start Date
self.SetEndDate(2023, 11, 27)  # Set End Date

1. As mentioned in point 1, if you're not using indicators that require historical data, you don't need to set a warm-up period. However, if you decide to use such indicators in the future, the length of the warm-up period should be at least as long as the maximum period of your indicators. For example, if you're using a 200-day moving average, you should set the warm-up period to at least 200 days. Here is how you can set the warm-up period in Python:

self.SetWarmUp(200)  # Set Warm Up period to 200 days

Remember, the warm-up period is used to pre-load data before the start date of your algorithm. It does not affect the start and end dates of your backtest.